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https://issues.apache.org/jira/browse/SPARK-48673?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kent Yao resolved SPARK-48673.
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Resolution: Information Provided
Please use the dev or user mailing lists for questions
https://spark.apache.org/community.html
> Scheduling Across Applications in k8s mode
> -------------------------------------------
>
> Key: SPARK-48673
> URL: https://issues.apache.org/jira/browse/SPARK-48673
> Project: Spark
> Issue Type: Question
> Components: k8s, Kubernetes, Scheduler, Spark Shell, Spark Submit
> Affects Versions: 3.5.1
> Reporter: Samba Shiva
> Priority: Trivial
>
> I have been trying autoscaling in Kubernetes for Spark Jobs,When first job is
> triggered based on load workers pods are scaling which is fine but When
> second job is submitted its not getting allocating any resources as First Job
> is consuming all the resources.
> Second job is in Waiting State until First Job is finished.I have gone
> through documentation to set max cores in standalone mode which is not a
> ideal solution as we are planning autoscaling based on load and Jobs
> submitted.
> Is there any solution for this or any alternatives ?
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